Deep Learning-Based Image Analysis

Artificial intelligence for machine vision

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Empowers users to quickly set up and deploy even the most challenging 2D and 3D vision applications.

Increasingly, industry is turning to deep learning technology to solve manufacturing inspections that are too complicated, time-consuming, and costly to program using traditional machine vision. Cognex ViDi is the first deep learning-based software designed to solve these complicated applications for factory automation.

Solve vision applications too difficult to program with rules-based algorithms

Handle confusing backgrounds and poor image quality

Maintain applications and re-train on the factory floor

Adapt to new examples without re-programming core algorithms

Be used by non-vision experts

In factory automation, deep learning-based software like VisionPro ViDi can now can perform judgment-based part location, inspection, classification, and character recognition challenges more effectively than humans or traditional machine vision solutions.

Easy, fast set-up and operation

Unlike machine vision systems, which operate via step-by-step filtering and rule-based algorithms, deep learning-based image analysis software learns by example—as a human would—from a set of annotated training data and images which represent a part’s known features, anomalies, and classes. During training, the software develops neural networks that can model a part’s normal appearance and defects. During run-time, the software locates parts, extracts anomalies, classifies parts, and even deciphers hard-to-read characters with speed, robustness, and precision.